IAM Policy Matrix Explorer
Compare RBAC, ABAC, and ReBAC policy models across human employees, service accounts, and autonomous agents.
Interactive sandboxes, policy models, and visual simulators embedded throughout the publication.
Compare RBAC, ABAC, and ReBAC policy models across human employees, service accounts, and autonomous agents.
Step through the end-to-end identity lifecycle from onboarding and dynamic auth to continuous access review.
Model Joiner-Mover-Leaver role transitions, birthright entitlements, and separation-of-duty boundaries.
Simulate breach blast radiuses across flat corporate VPNs versus identity-aware Zero Trust micro-segmentation.
Evaluate authentication protocols against real-world AiTM phishing, SIM-swapping, and session hijacking attacks.
Track the exponential growth, secret leakage, and orphan risk of service accounts across microservices.
Model SPIFFE/SPIRE workload attestation, mutual TLS (mTLS), and zero-trust service-to-service communication.
Simulate dynamic Just-In-Time credential generation, automated vault rotation, and standing privilege elimination.
Test adversarial prompt injections against autonomous AI agents and evaluate runtime privilege attenuation guardrails.
Enforce security-trimmed retrieval, document-level ACLs, and tenant isolation in AI knowledge base architectures.
Compare static API logs with AI reasoning-trace audit trails to meet ISO 27001 and SOC 2 compliance.
Step through token exchange flows, down-scoping, and actor delegation (act claim) in distributed microservices.
Evaluate IAM maturity across Horizon 1 (Foundational), Horizon 2 (Zero Trust), and Horizon 3 (Autonomous AI).
Plan and timeline phased enterprise modernization across identity governance, PAM, and workload security.